The Institute of Mathematical Statistics is an international professional and scholarly society devoted to the development, dissemination, and application of statistics and probability. The Institute currently has about 4,000 members in all parts of the world. Beginning in 2005, the institute started offering joint membership with the Bernoulli Society for Mathematical Statistics and Probability as well as with the International Statistical Institute. The Institute was founded in 1935 with Harry C. Carver and Henry L. Rietz as its two most important supporters. The institute publishes a variety of journals, and holds several international conference every year.
Sylvia Therese Richardson is a French/British Bayesian statistician and is currently Professor of Biostatistics and Director of the MRC Biostatistics Unit at the University of Cambridge. In 2021 she became the president of the Royal Statistical Society for the 2021–22 year.
Tianwen Tony Cai is a Chinese statistician. He is the Daniel H. Silberberg Professor of Statistics and Vice Dean at the Wharton School of the University of Pennsylvania. He is also professor of Applied Math & Computational Science Graduate Group, and associate scholar at the Department of Biostatistics, Epidemiology & Informatics, Perelman School of Medicine, University of Pennsylvania. In 2008 Cai received the COPSS Presidents' Award.
Jayanta Kumar Ghosh was an Indian statistician, an emeritus professor at Indian Statistical Institute and a professor of statistics at Purdue University.
Raymond James Carroll is an American statistician, and Distinguished Professor of statistics, nutrition and toxicology at Texas A&M University. He is a recipient of 1988 COPSS Presidents' Award and 2002 R. A. Fisher Lectureship. He has made fundamental contributions to measurement error model, nonparametric and semiparametric modeling.
Kerrie Mengersen is an Australian statistician, distinguished Professor of Statistics at Queensland University of Technology, and 2024 winner of the Ruby Payne-Scott Medal from the Australian Academy of Science.
María Jesús (Susie) Bayarri García was a Spanish Bayesian statistician who served as president of the International Society for Bayesian Analysis (1998) and of the Sociedad Española de Biometría (2001–2003).
Alicia Laura Carriquiry is a Uruguayan statistician. She is a distinguished professor of statistics at Iowa State University, and was president of the International Society for Bayesian Analysis in 2001. Her research applies Bayesian statistics to nutrition, genomics, forensics, and traffic safety.
Merlise Aycock Clyde is an American statistician known for her work in model averaging for Bayesian statistics. She is a professor of Statistical Science and immediate past chair of the Department of Statistical Science at Duke University. She was president of the International Society for Bayesian Analysis (ISBA) in 2013, and chair of the Section on Bayesian Statistical Science of the American Statistical Association for 2018.
Mei-Cheng Wang is a biostatistician in the Johns Hopkins Bloomberg School of Public Health. Her research includes both theoretical work on survival analysis and statistical truncation, and applications to medical questions including prenatal and infant care, AIDS infection, and kidney disease.
Amy Helen Herring is an American biostatistician interested in longitudinal data and reproductive health. Formerly the Carol Remmer Angle Distinguished Professor of Children's Environmental Health at the University of North Carolina at Chapel Hill, she is now Sara & Charles Ayres Distinguished Professor in the Department of Statistical Science, Global Health Institute, and Department of Biostatistics & Bioinformatics of Duke University.
Elizaveta (Liza) Levina is a Russian and American mathematical statistician. She is the Vijay Nair Collegiate Professor of Statistics at the University of Michigan, and is known for her work in high-dimensional statistics, including covariance estimation, graphical models, statistical network analysis, and nonparametric statistics.
Charmaine B. Dean is a statistician from Trinidad. She is the vice president for research at the University of Waterloo, a professor of statistical and actuarial sciences at both Waterloo and Western University, the former president of the Western North American Region of the International Biometric Society, and the former President of the Statistical Society of Canada. Her research interests include longitudinal studies, survival analysis, spatiotemporal data, heart surgery, and wildfires.
Tian Zheng is a Chinese-American applied statistician whose work concerns Bayesian modeling and sparse learning of complex data from applications including social networks, bioinformatics, and geoscience. She is a professor of statistics at Columbia University, and chair of the Columbia Department of Statistics.
Judith Rousseau is a Bayesian statistician who studies frequentist properties of Bayesian methods. She is a professor of statistics at the University of Oxford, a Fellow of Jesus College, Oxford, a Fellow of the Institute of Mathematical Statistics, and a Fellow of the International Society for Bayesian Analysis.
Sonia Petrone is an Italian mathematical statistician, known for her work in Bayesian statistics, including use of Bernstein polynomials for nonparametric methods in Bayesian statistics.[RBP][BDE][CPP] With Patrizia Campagnoli and Giovanni Petris she is the author of the book Dynamic Linear Models with R .[DLM]
Sofia Charlotta Olhede is a British-Swedish mathematical statistician known for her research on wavelets, graphons, and high-dimensional statistics and for her columns on algorithmic bias. She is a professor of statistical science at the EPFL.
Fabrizio Ruggeri is an Italian statistician. He is Research Director at the National Research Council Istituto di matematica applicata e tecnologie informatiche (CNR-IMATI) in Milan, Italy. His work focusses on Bayesian methods, specifically robustness and stochastic process inference. He has done innovative work on sensitivity of Bayesian methods and incompletely specified priors. He has worked on Bayesian wavelet methods, and on a vast variety of applications to industrial problems. His publications include well over 150 refereed papers and book chapters, as well as five books.
Christian P. Robert is a French statistician, specializing in Bayesian statistics and Monte Carlo methods.
Antonietta Mira is an Italian computational statistician whose research involves the application of Markov chain Monte Carlo methods to Bayesian inference. She is a professor of statistics in the Faculty of Economics and Institute of Computational Science at the Università della Svizzera italiana in Lugano, Switzerland, and professor of statistics in the University of Insubria in Italy.
